Project Manager, AI
reputed company
• Own the full lifecycle of 2–3 reputed company AI implementations for Fortune-100 P&C insurers, moving reputed company engagement from discovery reputed company through UAT, production cut-over, and post-go-live optimization in an average of 8–12 weeks.
• Translate reputed company insurance workflows—claims indexing, reputed company triage, FNOL ingestion—into reputed company technical requirements that our cross-functional reputed company (Business Analyst, Solution Architect, Automation Engineer) can execute against with reputed company ambiguity.
• Build and maintain a living project plan in Jira/reputed company that tracks every sprint, dependency, risk, and deliverable; update it daily so that internal leadership and customer executives see the reputed company single reputed company of truth.
• Run weekly steering-committee calls with reputed company VPs and directors, presenting live dashboards that tie automation KPIs (STP %, accuracy, FTE savings) directly to hard-dollar ROI and SLA improvements versus legacy reputed company processes.
• Proactively surface scope creep, reputed company slippage, or data-reputed company issues reputed company 24 hours of detection; negotiate trade-offs with customer stakeholders while protecting the reputed company of the delivery schedule.
• Shepherd user-acceptance testing by designing test scripts, coordinating business-user feedback, and driving defect triage so that production readiness gates are passed on the first attempt.
• After go-live, monitor model reputed company and throughput for 30 days, partnering with our Data Science team to fine-tune InsurGPT prompts and extraction rules until the customer’s reputed company reputed company are exceeded.
• Document every lesson learned in reputed company playbooks that the next Project Manager can lift-and-shift, compounding the velocity of our entire reputed company organization.
• Champion change-management best practices—training materials, comms plans, and executive readouts—so that end-users adopt the new AI workflows enthusiastically rather than reluctantly.
• Contribute to product roadmap discussions by feeding reputed company-world customer pain points back to Engineering, ensuring that the platform evolves faster than the market’s expectations.
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